Fashion Finder: A System for Locating Online Stores on Instagram from Product Images

Abstract

Searching for a fashion or clothing shops that carry either the piece that a consumer desires or a similar one can be troublesome due to lack of complete information, e.g., lack of the name of the brand or the location of a shop. A consumer may also waste a lot of time crawling in an online store. Many online stores utilises a social network called “Instagram” as a digital advertising platforms. In most of online stores, a user can simply use a keyword to search for items. Unfortunately, this cannot be done in Instagram. A consumer may search for a store on Instagram by using Instagram's ID assuming that the store is known. However, he or she needs to search each post one by one until he or she finds the desired product which may take a long time. A way to directly access these stores is needed. Therefore, we propose a platform called Fashion Finder that can assist consumers in their search for Instagram's online stores that sell their desired piece or an equivalent one. Fashion Finder uses a deep learning algorithm to be able to do so. It is simple to use, fast and a shop owner can add more items to the platform by themselves. The experiment shows that our proposed framework outperforms the conventional approach on the Colorful Fashion Parsing dataset.